Sedimentary Velocity Model for the San Francisco Bay Area

Description

This repository contains the regression scripts, model implementation, and data for the Sedimentary Velocity Model for the San Francisco Bay Area described in: Lavrentiadis, G., Seylabi, E., Xia, F., Tehrani, H., Asimaki, D., & McCallen, D. (Under Review) Enhancing Near-Surface Velocity Characterization in the San Francisco Bay Area: A Stationary and Spatially Varying Approach. Earthquake Spectra

An open-access version of the manuscript can be found in arXiv.

This paper supersedes the USGS report: Tehrani, H., Lavrentiadis, G., Seylabi, E., McCallen, D., & Asimaki, D. (2023). Final Technical Report (2021-2022) Towards a Three-Dimensional Geotechnical Layer Model for Northern California Collaborative Research with the University of Nevada Reno and California Institute of Technology.

Repository Structure

The main folder, Analyses, contains all the preprocessing, regression, prediction, validation, and library scripts.

Within the Analyses folder:

• The preprocessing contains scripts for homogenizing the velocity data for regression.
• The regression holds scripts for running both the stationary and spatially varying regression models, as well as for performing semivariogram analysis.
• The implementation includes scripts for evaluating the velocity models.
• The site_response contains files for generating velocity profiles and conducting the site response analysis.

The main Data folder mirrors the structure of the Analyses folder and includes all the corresponding input and output files.

The Raw_files includes project files in raw format.

.
|--Analyses
|     |--preprocessing
|     |--regression
|     |--implementation
|     |--prof_termination
|     |--scaling_functions
|     |--site_reponse
|     |--gis
|     |--miscellaneous
|     |--python_lib
|     |--stan_lib
|
|--Data
|     |--vel_profiles_dataset
|     |--regression
|     |--scaling_functions
|     |--site_reponse
|     |--misc
|     |--gis
|     
|--Raw_files

Collaborators

• Grigorios Lavrentiadis -- Postdoctoral Associate, California Institute of Technology
• Feiruo Xia -- Ph.D. Candidate, California Institute of Technology
• Elnaz Esmaeilzadeh Seylabi -- Assistant Professor, University of Nevada Reno
• Domniki Asimaki -- Professor, California Institute of Technology
• David McCallen -- Earth Senior Scientist, Lawrence Berkeley National Laboratory

Acknowledgments

The financial support from the United States Geological Survey (contract numbers: G21AP10518 and G21AP10448) is greatly acknowledged.